MacBook Pro (16-inch, 2021)
Geekbench AI Score
8582
Single Precision Score
9207
Half Precision Score
7198
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:07 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
4059
754.9 IPS |
|
|
Image Classification (HP)
|
100% |
4130
768.1 IPS |
|
|
Image Classification (Q)
|
99% |
4222
787.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6430
104.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6565
106.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6563
106.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32863
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34906
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31547
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4006
317.8 IPS |
|
|
Object Detection (HP)
|
100% |
4126
327.3 IPS |
|
|
Object Detection (Q)
|
91% |
3499
279.6 IPS |
|
|
Face Detection (SP)
|
100% |
14032
166.7 IPS |
|
|
Face Detection (HP)
|
100% |
14769
175.5 IPS |
|
|
Face Detection (Q)
|
100% |
10697
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19986
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20955
161.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
3775
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53841
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63842
82.1 IPS |
|
|
Style Transfer (Q)
|
100% |
63827
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10884
401.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11485
424.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8605
318.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1392
24.1 IPS |
