MacBook Pro (16-inch Late 2019)
Geekbench AI Score
794
Single Precision Score
652
Half Precision Score
519
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | ahbe |
| Upload Date | August 16 2024 02:09 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
285
53.0 IPS |
|
|
Image Classification (Q)
|
99% |
294
54.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (Q)
|
100% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1974
2.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1430
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
390
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
92% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
814
9.68 IPS |
|
|
Face Detection (HP)
|
100% |
686
8.15 IPS |
|
|
Face Detection (Q)
|
100% |
293
3.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
964
7.42 IPS |
|
|
Depth Estimation (Q)
|
97% |
852
6.59 IPS |
|
|
Style Transfer (SP)
|
100% |
3320
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (Q)
|
100% |
3457
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
571
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
336
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.6 IPS |
|
|
Text Classification (Q)
|
93% |
435
584.2 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
98% |
517
8.93 IPS |
