MacBook Pro (16-inch, 2021)
Geekbench AI Score
8508
Single Precision Score
9358
Half Precision Score
7923
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 02:37 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4036
750.5 IPS |
|
|
Image Classification (HP)
|
100% |
4107
763.7 IPS |
|
|
Image Classification (Q)
|
97% |
3492
651.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6322
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6538
106.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6428
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
32958
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34927
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32404
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3954
313.6 IPS |
|
|
Object Detection (HP)
|
100% |
4125
327.2 IPS |
|
|
Object Detection (Q)
|
91% |
3428
274.0 IPS |
|
|
Face Detection (SP)
|
100% |
13920
165.4 IPS |
|
|
Face Detection (HP)
|
100% |
14577
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
10540
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19870
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20678
159.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17250
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53905
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63951
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59787
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10825
399.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11344
418.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8801
325.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1048
18.1 IPS |
