MacBook Pro (16-inch, 2021)
Geekbench AI Score
3728
Single Precision Score
16374
Half Precision Score
16319
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bormot |
| Upload Date | December 06 2024 11:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
6720
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6494
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9739
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10435
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11082
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70879
82.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
67487
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
99% |
7892
627.8 IPS |
|
|
Object Detection (Q)
|
91% |
7390
590.5 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15864
188.5 IPS |
|
|
Face Detection (Q)
|
100% |
14862
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5906
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50800
391.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
52844
413.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22348
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119638
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116003
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25785
952.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28079
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3884
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3946
68.2 IPS |
