MacBook Pro (14-inch, 2021)
Geekbench AI Score
2759
Single Precision Score
4170
Half Precision Score
3507
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | August 16 2024 11:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
99% |
1615
301.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1166
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5655
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
12877
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11220
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
97% |
1906
151.7 IPS |
|
|
Object Detection (Q)
|
94% |
1480
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2658
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7911
61.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4007
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14813
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (Q)
|
100% |
23609
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3339
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3219
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3556
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3141
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3135
54.2 IPS |
