MacBook Pro (14-inch, 2021)
Geekbench AI Score
3691
Single Precision Score
16589
Half Precision Score
16587
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 15 2025 10:12 AM |
| Views | 4 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
7073
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
6814
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9685
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10449
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11148
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
71147
83.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67468
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
8086
643.2 IPS |
|
|
Object Detection (Q)
|
91% |
7621
608.9 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
16105
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
15302
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51626
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
54550
426.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22008
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121183
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116362
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4377
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26493
978.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28738
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
