MacBook Pro (14-inch, 2021)
Geekbench AI Score
3752
Single Precision Score
16441
Half Precision Score
16223
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
6954
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6707
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10351
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11154
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70143
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66907
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
99% |
7929
630.8 IPS |
|
|
Object Detection (Q)
|
91% |
7439
594.4 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
16093
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
14952
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50696
390.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
53173
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22374
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120927
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116275
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26018
960.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28105
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3521
60.8 IPS |
