MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4678
Single Precision Score
29703
Half Precision Score
33004
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | July 22 2025 09:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5074c) |
| 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% |
1496
278.1 IPS |
|
|
Image Classification (HP)
|
100% |
16158
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
16905
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21953
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26755
433.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16632
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119463
139.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118415
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
16953
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
18996
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
38758
460.5 IPS |
|
|
Face Detection (Q)
|
100% |
49955
593.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7033
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100679
775.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
115821
905.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30134
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
217917
280.1 IPS |
|
|
Style Transfer (Q)
|
96% |
210508
271.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5769
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38123
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49934
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4726
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4718
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5254
90.8 IPS |
