MacBook Pro (16-inch, 2021)
Geekbench AI Score
8456
Single Precision Score
8990
Half Precision Score
7879
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4097
761.9 IPS |
|
|
Image Classification (HP)
|
100% |
4043
751.9 IPS |
|
|
Image Classification (Q)
|
97% |
3466
646.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6298
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6448
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6410
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32947
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34857
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32277
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
4123
327.0 IPS |
|
|
Object Detection (Q)
|
91% |
3436
274.5 IPS |
|
|
Face Detection (SP)
|
100% |
13878
164.9 IPS |
|
|
Face Detection (HP)
|
100% |
14576
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
10456
124.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19777
152.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20662
159.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17017
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53833
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63577
81.7 IPS |
|
|
Style Transfer (Q)
|
96% |
59842
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10750
397.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11338
418.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8800
325.0 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1030
17.8 IPS |
