MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4892
Single Precision Score
7938
Half Precision Score
6351
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aymanjaddaa |
| Upload Date | March 26 2026 01:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
2554
475.1 IPS |
|
|
Image Classification (Q)
|
96% |
1880
351.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15567
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29376
34.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23019
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.2 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2176
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
3929
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4033
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13119
101.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9029
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30662
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46300
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36673
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4197
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (HP)
|
99% |
8414
11.2 KIPS |
|
|
Text Classification (Q)
|
93% |
8909
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6862
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
