MacBook Pro (14-inch, 2021)
Geekbench AI Score
3715
Single Precision Score
5735
Half Precision Score
4723
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | March 10 2025 02:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2232
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2638
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22014
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17124
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2347
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5295
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11060
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7457
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22173
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34894
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27291
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6198
228.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4006
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3271
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4838
83.6 IPS |
