MacBook Pro (16-inch, 2021)
Geekbench AI Score
3489
Single Precision Score
15796
Half Precision Score
15756
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | himmallright |
| Upload Date | March 07 2025 09:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.3 IPS |
|
|
Image Classification (HP)
|
100% |
6431
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6278
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9375
152.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10026
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10330
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70817
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66149
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
7507
597.2 IPS |
|
|
Object Detection (Q)
|
91% |
7135
570.1 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
15026
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
14271
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50595
389.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52528
410.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20954
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119584
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114795
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4147
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25392
937.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27454
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3653
63.1 IPS |
