MacBook Pro (14-inch, 2021)
Geekbench AI Score
3674
Single Precision Score
16637
Half Precision Score
16612
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 27 2025 01:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
7118
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6787
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10451
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11120
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71216
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67868
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.1 IPS |
|
|
Object Detection (HP)
|
99% |
8125
646.3 IPS |
|
|
Object Detection (Q)
|
91% |
7614
608.4 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
16099
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15193
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51255
394.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
54366
424.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22007
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120350
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116373
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4394
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26348
972.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28454
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3887
67.2 IPS |
