MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4629
Single Precision Score
7759
Half Precision Score
6133
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 04:48 PM |
| Views | 3 |
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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.4 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.5 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15657
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29730
34.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22509
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1873
148.5 IPS |
|
|
Object Detection (HP)
|
97% |
2989
238.0 IPS |
|
|
Object Detection (Q)
|
94% |
2175
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
6775
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7075
54.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12875
99.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9018
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29224
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
46497
59.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35677
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5545
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7887
291.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7925
136.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8072
139.5 IPS |
