MacBook Pro (16-inch, 2021)
Geekbench AI Score
3644
Single Precision Score
15089
Half Precision Score
15739
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:44 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
6932
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
7379
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8081
131.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
8088
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10874
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
68927
80.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
66219
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
7325
582.7 IPS |
|
|
Object Detection (Q)
|
91% |
7262
580.3 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
10898
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
12760
151.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44934
346.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49446
382.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21875
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117943
151.6 IPS |
|
|
Style Transfer (Q)
|
100% |
124064
159.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26041
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27881
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3900
67.4 IPS |
