MacBook Pro (14-inch, 2021)
Geekbench AI Score
8226
Single Precision Score
9049
Half Precision Score
8386
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 12 2025 04:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
3940
732.8 IPS |
|
|
Image Classification (HP)
|
100% |
4012
746.2 IPS |
|
|
Image Classification (Q)
|
96% |
3534
659.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6782
109.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6559
106.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29795
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32227
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31205
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3673
291.3 IPS |
|
|
Object Detection (HP)
|
100% |
3856
305.9 IPS |
|
|
Object Detection (Q)
|
92% |
3560
284.2 IPS |
|
|
Face Detection (SP)
|
100% |
13078
155.4 IPS |
|
|
Face Detection (HP)
|
100% |
13711
162.9 IPS |
|
|
Face Detection (Q)
|
100% |
11864
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17471
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16603
127.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
15201
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50175
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59871
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58299
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10476
386.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11213
414.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9647
356.2 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1653
28.6 IPS |
