MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3319
Single Precision Score
3525
Half Precision Score
928
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | burakozaydin |
| Upload Date | November 01 2024 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch Late 2019) |
| Model ID | MacBookPro16,1 |
| Motherboard | Apple Inc. Mac-E1008331FDC96864 MacBookPro16,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2869
533.5 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
206
3.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
18491
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19656
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
1905
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (HP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (Q)
|
92% |
98
7.84 IPS |
|
|
Face Detection (SP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
8764
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
12735
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11752
90.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11360
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33546
43.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36234
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45593
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5841
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8171
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4180
154.3 IPS |
|
|
Text Classification (SP)
|
100% |
353
470.7 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.7 IPS |
|
|
Text Classification (Q)
|
93% |
545
732.1 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.80 IPS |
|
|
Machine Translation (Q)
|
98% |
421
7.28 IPS |
