MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
6800
Single Precision Score
7553
Half Precision Score
2563
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | May 21 2025 02:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4189
779.1 IPS |
|
|
Image Classification (HP)
|
100% |
4433
824.3 IPS |
|
|
Image Classification (Q)
|
97% |
3347
624.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4438
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6000
97.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6183
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25161
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26904
31.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
24925
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
4348
344.9 IPS |
|
|
Object Detection (HP)
|
100% |
4684
371.6 IPS |
|
|
Object Detection (Q)
|
92% |
3716
296.6 IPS |
|
|
Face Detection (SP)
|
100% |
11429
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
13852
164.6 IPS |
|
|
Face Detection (Q)
|
100% |
10234
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18732
144.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20729
159.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52104
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60560
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56758
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10685
394.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11769
434.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9383
346.5 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.7 IPS |
|
|
Text Classification (HP)
|
100% |
702
936.5 IPS |
|
|
Text Classification (Q)
|
93% |
698
937.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1682
29.1 IPS |
