MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4741
Single Precision Score
7589
Half Precision Score
6092
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | rrevi |
| Upload Date | January 15 2026 04:12 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1495
278.1 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (Q)
|
96% |
1861
347.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15742
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29900
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23403
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
1882
149.3 IPS |
|
|
Object Detection (HP)
|
97% |
2882
229.4 IPS |
|
|
Object Detection (Q)
|
94% |
2198
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
6848
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4058
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7191
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13236
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8716
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31072
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45817
58.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36694
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7543
278.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5064
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5040
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6787
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6759
116.8 IPS |
