MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
1654
Single Precision Score
23068
Half Precision Score
19951
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | atlasnull |
| Upload Date | July 15 2025 04:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1502
279.4 IPS |
|
|
Image Classification (HP)
|
100% |
15467
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
13644
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16513
267.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17204
278.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1547
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
105743
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
91312
107.0 IPS |
|
|
Object Detection (SP)
|
100% |
906
71.9 IPS |
|
|
Object Detection (HP)
|
100% |
14255
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
7877
629.4 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.74 IPS |
|
|
Face Detection (HP)
|
100% |
21781
258.8 IPS |
|
|
Face Detection (Q)
|
100% |
30187
358.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3357
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78999
608.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
87645
685.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8196
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171764
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
139802
180.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31358
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32524
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2171
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1390
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3977
68.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3540
61.2 IPS |
