MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4495
Single Precision Score
31988
Half Precision Score
35350
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
16635
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18644
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22298
361.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27235
441.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119427
139.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118571
139.0 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
18568
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
19363
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
38620
458.9 IPS |
|
|
Face Detection (Q)
|
100% |
50331
598.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7143
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105391
812.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
124083
970.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30643
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
218918
281.4 IPS |
|
|
Style Transfer (Q)
|
96% |
211682
273.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5830
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40180
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53057
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7495
129.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7370
127.4 IPS |
