MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4751
Single Precision Score
30004
Half Precision Score
33093
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | February 14 2026 05:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
15909
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17055
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21680
351.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27659
448.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15749
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119611
139.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118123
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (HP)
|
100% |
16706
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
16878
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38681
459.6 IPS |
|
|
Face Detection (Q)
|
100% |
50187
596.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7255
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100573
774.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
114753
897.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30779
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
220105
282.9 IPS |
|
|
Style Transfer (Q)
|
96% |
208197
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5824
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39479
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50502
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5136
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5101
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4942
85.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5424
93.7 IPS |
