MacBook Pro (14-inch, 2021)
Geekbench AI Score
7928
Single Precision Score
8168
Half Precision Score
7379
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 02:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3717
691.2 IPS |
|
|
Image Classification (HP)
|
100% |
3843
714.7 IPS |
|
|
Image Classification (Q)
|
97% |
3189
595.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5908
95.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5840
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29788
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31197
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
29054
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.7 IPS |
|
|
Object Detection (HP)
|
100% |
3915
310.5 IPS |
|
|
Object Detection (Q)
|
91% |
3211
256.5 IPS |
|
|
Face Detection (SP)
|
100% |
13079
155.4 IPS |
|
|
Face Detection (HP)
|
100% |
13479
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
8936
106.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17316
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17979
138.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14809
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50035
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58968
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54948
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10353
382.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10828
399.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8511
314.3 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
