MacBook Pro (16-inch, 2021)
Geekbench AI Score
8520
Single Precision Score
9345
Half Precision Score
8192
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zedwarth |
| Upload Date | March 08 2025 09:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
4033
750.0 IPS |
|
|
Image Classification (HP)
|
100% |
4054
753.9 IPS |
|
|
Image Classification (Q)
|
97% |
3456
645.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6294
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6447
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6431
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32815
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34881
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32316
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3947
313.0 IPS |
|
|
Object Detection (HP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (Q)
|
91% |
3436
274.6 IPS |
|
|
Face Detection (SP)
|
100% |
13833
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
14614
173.6 IPS |
|
|
Face Detection (Q)
|
100% |
10407
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19831
152.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20727
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17434
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53821
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63750
82.0 IPS |
|
|
Style Transfer (Q)
|
96% |
59877
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11182
412.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11290
416.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8757
323.4 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1487
25.7 IPS |
