MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4157
Single Precision Score
7016
Half Precision Score
5715
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 12:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
2931
545.0 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3419
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8869
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17332
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15141
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.0 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2406
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6823
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
4070
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7271
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13694
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9554
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22587
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34292
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28723
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2838
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5003
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5020
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5831
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5761
99.6 IPS |
