MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4422
Single Precision Score
30664
Half Precision Score
33540
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kiyang |
| Upload Date | September 26 2024 08:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| 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% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
16835
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
17875
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16235
263.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19273
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16647
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120556
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
118949
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
17183
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19506
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
38824
461.3 IPS |
|
|
Face Detection (Q)
|
100% |
49461
587.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7285
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104924
808.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121349
948.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30384
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
220574
283.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211762
273.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39765
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51605
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2828
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4831
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7069
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
