MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
20136
Single Precision Score
22769
Half Precision Score
21283
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sergeymitr |
| Upload Date | March 11 2026 04:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8075
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8592
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
8029
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19763
320.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20606
334.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19612
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
87962
102.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
96716
112.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
92312
108.1 IPS |
|
|
Object Detection (SP)
|
100% |
7818
620.1 IPS |
|
|
Object Detection (HP)
|
100% |
8366
663.6 IPS |
|
|
Object Detection (Q)
|
91% |
7526
601.5 IPS |
|
|
Face Detection (SP)
|
100% |
33628
399.6 IPS |
|
|
Face Detection (HP)
|
100% |
38150
453.3 IPS |
|
|
Face Detection (Q)
|
100% |
34439
409.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38023
292.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41186
317.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
38412
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
183879
236.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202401
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196218
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24118
890.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25324
935.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22580
833.8 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4924
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4901
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
6129
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6593
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6071
104.9 IPS |
