MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4489
Single Precision Score
7439
Half Precision Score
5985
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | aerodinesh |
| Upload Date | July 09 2025 01:41 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
2388
444.1 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16679
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27554
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
21782
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.3 IPS |
|
|
Object Detection (HP)
|
97% |
2836
225.8 IPS |
|
|
Object Detection (Q)
|
94% |
2123
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
3934
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
6383
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3776
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12023
92.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8612
67.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30620
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45106
58.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34321
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7806
288.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5060
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5073
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2590
44.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7429
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7386
127.6 IPS |
