MacBook Pro (14-inch, 2021)
Geekbench AI Score
8273
Single Precision Score
9079
Half Precision Score
8323
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | September 13 2025 09:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
3757
698.8 IPS |
|
|
Image Classification (HP)
|
100% |
3897
724.8 IPS |
|
|
Image Classification (Q)
|
96% |
3604
673.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6813
110.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6878
111.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6544
106.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29890
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32243
37.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31123
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3728
295.7 IPS |
|
|
Object Detection (HP)
|
100% |
3852
305.6 IPS |
|
|
Object Detection (Q)
|
92% |
3562
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
13218
157.1 IPS |
|
|
Face Detection (HP)
|
100% |
13705
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
11798
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17460
134.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16682
128.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
15272
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50332
64.7 IPS |
|
|
Style Transfer (HP)
|
100% |
59860
77.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58429
75.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10439
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11112
410.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9654
356.5 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4129
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1454
25.1 IPS |
