MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4763
Single Precision Score
28151
Half Precision Score
30659
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | October 07 2024 05:50 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
16113
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
17510
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21326
345.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26335
426.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16694
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120582
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118654
139.1 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
16844
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
16714
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
37426
444.7 IPS |
|
|
Face Detection (Q)
|
100% |
49063
583.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7417
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101067
778.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
116693
912.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30656
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
219554
282.2 IPS |
|
|
Style Transfer (Q)
|
96% |
208742
269.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37836
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51429
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4767
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2739
47.3 IPS |
