MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4786
Single Precision Score
31108
Half Precision Score
33944
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ericzhao |
| Upload Date | July 07 2025 08:58 PM |
| Views | 8 |
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 | Mac15,9 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (HP)
|
100% |
16622
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18398
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21850
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26721
433.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16625
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119725
139.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119319
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
18699
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
19553
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3951
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
38787
460.9 IPS |
|
|
Face Detection (Q)
|
100% |
47833
568.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7267
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107838
830.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
125055
977.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30508
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
223469
287.3 IPS |
|
|
Style Transfer (Q)
|
96% |
213605
275.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43976
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52925
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5579
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4694
81.1 IPS |
