MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
15906
Single Precision Score
19841
Half Precision Score
18491
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | aiaerospacex |
| Upload Date | November 04 2025 09:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7214
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7834
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
7210
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16133
261.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17078
276.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16225
263.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
65912
76.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70111
81.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
68094
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
6915
548.5 IPS |
|
|
Object Detection (HP)
|
100% |
7595
602.4 IPS |
|
|
Object Detection (Q)
|
92% |
6705
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
26904
319.7 IPS |
|
|
Face Detection (HP)
|
100% |
30699
364.8 IPS |
|
|
Face Detection (Q)
|
100% |
25322
300.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32566
250.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34291
264.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31889
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
143957
185.1 IPS |
|
|
Style Transfer (HP)
|
100% |
158213
203.4 IPS |
|
|
Style Transfer (Q)
|
96% |
153387
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21780
804.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21628
798.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19271
711.6 IPS |
|
|
Text Classification (SP)
|
100% |
2788
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4910
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7506
129.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7502
129.6 IPS |
