MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4705
Single Precision Score
29034
Half Precision Score
31301
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | March 07 2026 07:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.7 IPS |
|
|
Image Classification (HP)
|
100% |
15633
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
16518
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21553
349.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27355
443.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119397
139.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118212
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1886
149.6 IPS |
|
|
Object Detection (HP)
|
100% |
17271
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
16564
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
38332
455.5 IPS |
|
|
Face Detection (Q)
|
100% |
49609
589.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7095
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100868
777.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
113715
889.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30915
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
219256
281.9 IPS |
|
|
Style Transfer (Q)
|
96% |
209200
270.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5585
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39675
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46014
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4669
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3670
63.4 IPS |
