MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4607
Single Precision Score
7581
Half Precision Score
6128
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Symbol1ca |
| Upload Date | March 19 2026 10:52 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (Q)
|
96% |
1845
344.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2631
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15492
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29006
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23060
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (HP)
|
97% |
2869
228.4 IPS |
|
|
Object Detection (Q)
|
94% |
2178
173.6 IPS |
|
|
Face Detection (SP)
|
100% |
3868
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
6773
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13246
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8687
67.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30525
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45668
58.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36566
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4947
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4572
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7572
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7527
130.1 IPS |
