MacBook Pro (16-inch Late 2019)
Geekbench AI Score
3114
Single Precision Score
3364
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | tobyg |
| Upload Date | January 14 2025 08:48 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 5500M |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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% |
2471
459.5 IPS |
|
|
Image Classification (HP)
|
100% |
2692
500.6 IPS |
|
|
Image Classification (Q)
|
96% |
129
24.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
202
3.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
17841
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19378
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
1983
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (Q)
|
92% |
114
9.14 IPS |
|
|
Face Detection (SP)
|
100% |
6450
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
12141
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11266
86.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33363
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36215
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
46223
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7155
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7145
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
343
457.3 IPS |
|
|
Text Classification (HP)
|
100% |
381
508.1 IPS |
|
|
Text Classification (Q)
|
93% |
478
641.5 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.73 IPS |
|
|
Machine Translation (Q)
|
98% |
406
7.01 IPS |
