MacBook Pro (14-inch, 2021)
Geekbench AI Score
7422
Single Precision Score
8203
Half Precision Score
7484
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Suginoko |
| Upload Date | November 03 2024 05:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.15 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3104
577.2 IPS |
|
|
Image Classification (HP)
|
100% |
3157
587.1 IPS |
|
|
Image Classification (Q)
|
97% |
2825
527.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5289
85.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5663
91.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6443
104.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32626
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34892
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32352
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3921
311.0 IPS |
|
|
Object Detection (HP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (Q)
|
91% |
2917
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
11386
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
12110
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
8552
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15602
120.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15804
121.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17246
134.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52805
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62775
80.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58835
75.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10308
380.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11215
414.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8388
309.7 IPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3740
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3686
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1121
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1197
20.7 IPS |
