MacBook Pro (16-inch, 2021)
Geekbench AI Score
7615
Single Precision Score
8165
Half Precision Score
7488
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 04:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4080
758.7 IPS |
|
|
Image Classification (HP)
|
100% |
4153
772.3 IPS |
|
|
Image Classification (Q)
|
97% |
3500
653.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6318
102.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6469
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6464
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32867
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34824
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
32279
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3390
268.9 IPS |
|
|
Object Detection (HP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (Q)
|
91% |
3461
276.6 IPS |
|
|
Face Detection (SP)
|
100% |
14082
167.3 IPS |
|
|
Face Detection (HP)
|
100% |
14832
176.2 IPS |
|
|
Face Detection (Q)
|
100% |
10631
126.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19844
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20771
160.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17232
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53930
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63711
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59746
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10881
401.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11418
421.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8888
328.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
98% |
573
9.90 IPS |
