MacBook Pro (14-inch, 2021)
Geekbench AI Score
7750
Single Precision Score
8589
Half Precision Score
8130
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ultratomcat |
| Upload Date | March 22 2025 05:11 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
3578
665.3 IPS |
|
|
Image Classification (HP)
|
100% |
3815
709.5 IPS |
|
|
Image Classification (Q)
|
96% |
3589
670.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6731
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6794
110.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6524
105.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29670
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31126
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30361
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3608
286.2 IPS |
|
|
Object Detection (HP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (Q)
|
92% |
3493
278.8 IPS |
|
|
Face Detection (SP)
|
100% |
13162
156.4 IPS |
|
|
Face Detection (HP)
|
100% |
13780
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
11397
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17182
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16387
126.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15114
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49723
63.9 IPS |
|
|
Style Transfer (HP)
|
100% |
58513
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
56730
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10249
378.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10860
401.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9193
339.5 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3783
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1495
25.8 IPS |
