MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4719
Single Precision Score
29446
Half Precision Score
32526
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:17 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1497
278.4 IPS |
|
|
Image Classification (HP)
|
100% |
15498
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
17361
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22091
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27337
443.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15716
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118885
138.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
117322
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
1876
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
16222
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
16538
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38043
452.0 IPS |
|
|
Face Detection (Q)
|
100% |
49412
587.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97249
749.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110621
864.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31086
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
216381
278.2 IPS |
|
|
Style Transfer (Q)
|
96% |
204860
264.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36779
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45675
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5068
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5554
96.0 IPS |
