MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4849
Single Precision Score
7605
Half Precision Score
6109
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tobyg |
| Upload Date | February 09 2025 01:07 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1525
283.6 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.5 IPS |
|
|
Image Classification (Q)
|
96% |
1813
338.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2679
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16718
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29064
33.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22515
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.3 IPS |
|
|
Object Detection (HP)
|
97% |
2960
235.7 IPS |
|
|
Object Detection (Q)
|
94% |
2180
173.8 IPS |
|
|
Face Detection (SP)
|
100% |
4100
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13850
107.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9631
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30946
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45353
58.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35093
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7712
284.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4983
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4887
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5006
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7043
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6983
120.7 IPS |
