MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4999
Single Precision Score
32299
Half Precision Score
35111
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 10 2025 12:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.72 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
17630
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
19112
3.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22216
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28056
454.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16548
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121178
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120524
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
20899
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
20503
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
4110
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
38790
460.9 IPS |
|
|
Face Detection (Q)
|
100% |
47847
568.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7499
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110082
848.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127966
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
31997
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
225604
290.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217022
280.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6204
229.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45729
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54790
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5595
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5276
91.2 IPS |
