MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4792
Single Precision Score
7419
Half Precision Score
5953
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | February 01 2025 01:01 PM |
| Views | 8 |
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 (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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% |
1508
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.2 IPS |
|
|
Image Classification (Q)
|
96% |
1793
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16753
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27658
32.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21507
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2936
233.7 IPS |
|
|
Object Detection (Q)
|
94% |
2182
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
6546
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12890
99.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8848
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30746
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43651
56.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33667
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7640
282.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5096
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4622
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7031
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7022
121.3 IPS |
