MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4696
Single Precision Score
7760
Half Precision Score
6035
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
2613
485.9 IPS |
|
|
Image Classification (Q)
|
96% |
1904
355.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15774
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29987
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23134
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
97% |
2991
238.1 IPS |
|
|
Object Detection (Q)
|
94% |
2176
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
3935
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
6693
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3910
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7163
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12992
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8548
66.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30644
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46247
59.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35609
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7534
278.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4380
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5142
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7470
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7648
132.2 IPS |
