MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4777
Single Precision Score
7471
Half Precision Score
6056
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CelteX86 |
| Upload Date | February 27 2025 09:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16733
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28600
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21614
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2164
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3984
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7298
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13265
102.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9332
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30703
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44151
56.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34177
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7677
283.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5065
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4901
84.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7076
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
