MacBook Pro (16-inch, 2021)
Geekbench AI Score
8512
Single Precision Score
9352
Half Precision Score
8290
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | January 29 2025 05:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4030
749.4 IPS |
|
|
Image Classification (HP)
|
100% |
4041
751.5 IPS |
|
|
Image Classification (Q)
|
97% |
3446
643.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6298
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6445
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6437
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32918
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34956
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32392
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3941
312.6 IPS |
|
|
Object Detection (HP)
|
100% |
4106
325.7 IPS |
|
|
Object Detection (Q)
|
91% |
3431
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
13949
165.7 IPS |
|
|
Face Detection (HP)
|
100% |
14715
174.8 IPS |
|
|
Face Detection (Q)
|
100% |
10562
125.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19818
152.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20651
159.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17407
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53907
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63896
82.1 IPS |
|
|
Style Transfer (Q)
|
96% |
59883
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10824
399.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11272
416.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8856
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
