MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4704
Single Precision Score
28632
Half Precision Score
31119
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 02:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.06 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1503
279.5 IPS |
|
|
Image Classification (HP)
|
100% |
15463
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
16440
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22211
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27485
445.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15746
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119804
139.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118183
138.5 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
100% |
16320
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16658
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3930
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
37988
451.4 IPS |
|
|
Face Detection (Q)
|
100% |
49453
587.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99016
762.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112373
878.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31176
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
218461
280.8 IPS |
|
|
Style Transfer (Q)
|
96% |
208085
268.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37514
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45570
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5019
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4980
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3649
63.1 IPS |
