MacBook Pro (14-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
5817
Half Precision Score
4733
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kapusmd |
| Upload Date | January 05 2025 09:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
96% |
1487
277.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11155
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22492
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17003
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2362
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1742
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10811
83.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7426
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22199
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35141
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26144
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6221
229.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3450
59.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4817
83.2 IPS |
