MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4143
Single Precision Score
30404
Half Precision Score
34103
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 11:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
17104
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
19566
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20931
339.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25373
411.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8879
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121776
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120742
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
18132
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20368
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
38487
457.3 IPS |
|
|
Face Detection (Q)
|
100% |
49770
591.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97853
753.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123243
963.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22549
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
228163
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220385
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46521
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56245
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2832
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5006
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4580
79.1 IPS |
