MacBook Pro (14-inch, 2021)
Geekbench AI Score
7955
Single Precision Score
8854
Half Precision Score
8286
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SybrenV |
| Upload Date | August 05 2025 08:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
3649
678.5 IPS |
|
|
Image Classification (HP)
|
100% |
3806
707.8 IPS |
|
|
Image Classification (Q)
|
96% |
3502
654.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6742
109.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6809
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6518
105.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29709
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32188
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31184
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3650
289.5 IPS |
|
|
Object Detection (HP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (Q)
|
92% |
3500
279.4 IPS |
|
|
Face Detection (SP)
|
100% |
13212
157.0 IPS |
|
|
Face Detection (HP)
|
100% |
13528
160.7 IPS |
|
|
Face Detection (Q)
|
100% |
11726
139.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17359
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16551
127.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
15220
118.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50080
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59546
76.5 IPS |
|
|
Style Transfer (Q)
|
96% |
58170
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10280
379.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10884
401.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9628
355.5 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1554
26.8 IPS |
