MacBook Pro (14-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
16378
Half Precision Score
16268
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | audax72 |
| Upload Date | November 10 2024 10:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
6826
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6486
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9699
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10422
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11175
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70695
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67694
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7952
632.6 IPS |
|
|
Object Detection (Q)
|
91% |
7445
594.9 IPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
15680
186.3 IPS |
|
|
Face Detection (Q)
|
100% |
15102
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5972
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51440
396.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53690
419.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22530
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121588
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117601
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25646
947.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27812
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3619
62.5 IPS |
