MacBook Pro (14-inch, 2021)
Geekbench AI Score
7511
Single Precision Score
8288
Half Precision Score
6368
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | neon_sunset |
| Upload Date | August 16 2024 10:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
3661
680.8 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.3 IPS |
|
|
Image Classification (Q)
|
99% |
3268
609.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5858
95.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5884
95.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5719
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29778
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31288
36.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
28024
32.8 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
3875
307.4 IPS |
|
|
Object Detection (Q)
|
91% |
2951
235.8 IPS |
|
|
Face Detection (SP)
|
100% |
12950
153.9 IPS |
|
|
Face Detection (HP)
|
100% |
13476
160.1 IPS |
|
|
Face Detection (Q)
|
100% |
9251
109.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17301
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17759
136.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
3292
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49967
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
58819
75.6 IPS |
|
|
Style Transfer (Q)
|
100% |
58165
74.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10368
382.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10827
399.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7834
290.2 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1367
23.6 IPS |
