MacBook Pro (14-inch, 2021)
Geekbench AI Score
7966
Single Precision Score
8768
Half Precision Score
7679
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
3761
699.5 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.3 IPS |
|
|
Image Classification (Q)
|
97% |
3192
595.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5838
94.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5901
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5927
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29827
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31288
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29069
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3688
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
3905
309.8 IPS |
|
|
Object Detection (Q)
|
91% |
3257
260.3 IPS |
|
|
Face Detection (SP)
|
100% |
13060
155.2 IPS |
|
|
Face Detection (HP)
|
100% |
13776
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
9575
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17732
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18103
139.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15155
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50051
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58999
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54940
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10815
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8529
315.0 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1505
26.0 IPS |
