MacBook Pro (14-inch, 2021)
Geekbench AI Score
8142
Single Precision Score
9064
Half Precision Score
8233
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AdamOp |
| Upload Date | August 20 2025 08:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3761
699.5 IPS |
|
|
Image Classification (HP)
|
100% |
3897
724.7 IPS |
|
|
Image Classification (Q)
|
96% |
3598
671.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6736
109.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6788
110.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6505
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29781
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32291
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31163
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (HP)
|
100% |
3850
305.4 IPS |
|
|
Object Detection (Q)
|
92% |
3553
283.6 IPS |
|
|
Face Detection (SP)
|
100% |
13008
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
13476
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
11807
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17403
134.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16620
128.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
15224
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50212
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59799
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58434
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10468
386.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11119
410.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9614
355.0 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1361
23.5 IPS |
