MacBook Pro (14-inch, 2021)
Geekbench AI Score
3724
Single Precision Score
14930
Half Precision Score
14732
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | astazyx |
| Upload Date | October 06 2024 03:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
7044
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6791
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6461
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6711
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10977
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70588
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65451
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
7899
628.3 IPS |
|
|
Object Detection (Q)
|
91% |
7456
595.8 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
15553
184.8 IPS |
|
|
Face Detection (Q)
|
100% |
14589
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5875
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51617
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53558
418.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22600
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121568
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116286
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26020
960.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28292
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2157
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2151
37.2 IPS |
