MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4752
Single Precision Score
29575
Half Precision Score
33293
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | December 14 2025 02:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
282.0 IPS |
|
|
Image Classification (HP)
|
100% |
16129
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
17943
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22055
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26454
428.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16615
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119288
139.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
117803
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
16557
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
17238
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
36587
434.7 IPS |
|
|
Face Detection (Q)
|
100% |
49963
593.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100057
770.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
115101
899.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30380
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
215779
277.4 IPS |
|
|
Style Transfer (Q)
|
96% |
209727
270.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38142
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51054
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4804
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5261
90.9 IPS |
