MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4661
Single Precision Score
28727
Half Precision Score
31342
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sergeymitr |
| Upload Date | March 11 2026 04:31 PM |
| Views | 8 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (HP)
|
100% |
15514
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
15923
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22265
360.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27455
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15735
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119542
139.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118252
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
16392
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16960
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3867
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
38374
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49675
590.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7048
54.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99271
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
115352
901.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31090
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
216780
278.7 IPS |
|
|
Style Transfer (Q)
|
96% |
207809
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37797
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48012
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
4959
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4889
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3733
64.5 IPS |
