MacBook Pro (16-inch, 2021)
Geekbench AI Score
3712
Single Precision Score
16529
Half Precision Score
16415
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | r00tb33r |
| Upload Date | November 11 2024 07:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
6940
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6691
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9551
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71240
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67802
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
7892
627.8 IPS |
|
|
Object Detection (Q)
|
91% |
7428
593.5 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
15602
185.4 IPS |
|
|
Face Detection (Q)
|
100% |
14630
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51305
395.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53505
418.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22284
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120737
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116336
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26222
968.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28163
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4031
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4104
70.9 IPS |
