MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4734
Single Precision Score
30833
Half Precision Score
33504
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
275.9 IPS |
|
|
Image Classification (HP)
|
100% |
16579
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
17383
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22312
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28122
455.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15750
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120937
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
117919
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
18932
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
18983
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
38215
454.1 IPS |
|
|
Face Detection (Q)
|
100% |
49684
590.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99686
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
117476
918.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30819
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
217894
280.1 IPS |
|
|
Style Transfer (Q)
|
96% |
208215
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43733
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48240
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5224
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5142
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4835
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5404
93.4 IPS |
