MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4806
Single Precision Score
30417
Half Precision Score
33259
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 19 2025 10:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1511
281.0 IPS |
|
|
Image Classification (HP)
|
100% |
16586
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
18579
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21994
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27125
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16648
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119751
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118066
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
1939
153.8 IPS |
|
|
Object Detection (HP)
|
100% |
17511
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
16770
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
38315
455.3 IPS |
|
|
Face Detection (Q)
|
100% |
49337
586.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7221
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100618
775.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
119446
933.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30252
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
219140
281.7 IPS |
|
|
Style Transfer (Q)
|
96% |
212045
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40540
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51317
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5127
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4844
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5048
87.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5344
92.3 IPS |
