MacBook Pro (14-inch, 2021)
Geekbench AI Score
8352
Single Precision Score
9213
Half Precision Score
8591
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | MK6-Aaron |
| Upload Date | January 19 2026 05:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.16 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3848
715.6 IPS |
|
|
Image Classification (HP)
|
100% |
3982
740.6 IPS |
|
|
Image Classification (Q)
|
96% |
3716
693.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6888
111.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6927
112.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6590
106.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29704
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32116
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31257
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3848
305.3 IPS |
|
|
Object Detection (HP)
|
100% |
3929
311.6 IPS |
|
|
Object Detection (Q)
|
92% |
3679
293.7 IPS |
|
|
Face Detection (SP)
|
100% |
13430
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
13908
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
11932
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17601
135.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16775
129.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
15541
121.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50276
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60024
77.2 IPS |
|
|
Style Transfer (Q)
|
96% |
58426
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10639
392.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11225
414.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9785
361.3 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4258
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4253
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1726
29.8 IPS |
