MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15514
Single Precision Score
19738
Half Precision Score
18540
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gabrielu |
| Upload Date | September 09 2025 07:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7421
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7935
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7137
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16143
261.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17023
275.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16256
263.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
65725
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69653
81.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68405
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
6891
546.6 IPS |
|
|
Object Detection (HP)
|
100% |
7604
603.2 IPS |
|
|
Object Detection (Q)
|
92% |
7058
563.4 IPS |
|
|
Face Detection (SP)
|
100% |
26271
312.2 IPS |
|
|
Face Detection (HP)
|
100% |
30820
366.2 IPS |
|
|
Face Detection (Q)
|
100% |
25599
304.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
32431
249.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34004
262.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
32262
252.0 IPS |
|
|
Style Transfer (SP)
|
100% |
143948
185.0 IPS |
|
|
Style Transfer (HP)
|
100% |
157635
202.6 IPS |
|
|
Style Transfer (Q)
|
96% |
153210
197.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21530
795.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21347
788.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19145
706.9 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4828
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7370
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7356
127.1 IPS |
