MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4491
Single Precision Score
31069
Half Precision Score
33993
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | May 21 2025 05:32 PM |
| Views | 6 |
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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
16134
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
18506
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22024
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27194
440.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16698
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119304
139.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
117839
138.1 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
16657
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
17048
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
39052
464.0 IPS |
|
|
Face Detection (Q)
|
100% |
45122
536.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102995
793.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
117084
915.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30257
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
217185
279.2 IPS |
|
|
Style Transfer (Q)
|
96% |
209533
270.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37861
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51739
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4836
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7351
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7358
127.2 IPS |
