MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18663
Single Precision Score
20895
Half Precision Score
19126
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | April 07 2025 03:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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% |
7792
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7709
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
7373
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19862
322.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20311
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19500
316.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
92133
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
92760
108.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
90730
106.3 IPS |
|
|
Object Detection (SP)
|
100% |
7232
573.7 IPS |
|
|
Object Detection (HP)
|
100% |
8223
652.3 IPS |
|
|
Object Detection (Q)
|
92% |
7317
584.1 IPS |
|
|
Face Detection (SP)
|
100% |
31205
370.8 IPS |
|
|
Face Detection (HP)
|
100% |
34290
407.4 IPS |
|
|
Face Detection (Q)
|
100% |
30229
359.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
37815
291.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39965
307.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37124
290.0 IPS |
|
|
Style Transfer (SP)
|
100% |
188368
242.2 IPS |
|
|
Style Transfer (HP)
|
100% |
198800
255.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193046
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24443
902.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24150
891.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21678
800.5 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4972
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4061
70.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3015
52.1 IPS |
