MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19839
Single Precision Score
22362
Half Precision Score
20760
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 04:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
8289
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
9243
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
7851
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19663
318.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20145
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19904
322.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
88570
103.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
96764
112.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
92338
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
7449
590.9 IPS |
|
|
Object Detection (HP)
|
100% |
7964
631.7 IPS |
|
|
Object Detection (Q)
|
92% |
7903
630.8 IPS |
|
|
Face Detection (SP)
|
100% |
33123
393.6 IPS |
|
|
Face Detection (HP)
|
100% |
37274
442.9 IPS |
|
|
Face Detection (Q)
|
100% |
30444
361.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38962
300.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41569
320.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37855
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
182429
234.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205600
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
198334
256.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24441
902.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25675
948.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21732
802.5 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4843
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5464
94.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5421
93.7 IPS |
