MacBook Pro (14-inch, 2021)
Geekbench AI Score
8190
Single Precision Score
9070
Half Precision Score
8489
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | natkat |
| Upload Date | February 07 2026 11:56 PM |
| Views | 9 |
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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3842
714.5 IPS |
|
|
Image Classification (HP)
|
100% |
3967
737.7 IPS |
|
|
Image Classification (Q)
|
96% |
3709
692.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6845
111.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6838
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6575
106.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29821
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32245
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31254
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (HP)
|
100% |
3841
304.7 IPS |
|
|
Object Detection (Q)
|
92% |
3612
288.3 IPS |
|
|
Face Detection (SP)
|
100% |
13257
157.5 IPS |
|
|
Face Detection (HP)
|
100% |
13617
161.8 IPS |
|
|
Face Detection (Q)
|
100% |
11847
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17392
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16658
128.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
15321
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50230
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59805
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58301
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10466
386.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11061
408.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9584
353.9 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1683
29.1 IPS |
