MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15567
Single Precision Score
19555
Half Precision Score
16897
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kiyang |
| Upload Date | September 26 2024 08:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7215
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7702
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
5966
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13884
225.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14713
238.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14752
239.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66950
78.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69857
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
63596
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
7256
575.5 IPS |
|
|
Object Detection (HP)
|
100% |
7648
606.7 IPS |
|
|
Object Detection (Q)
|
91% |
6355
507.8 IPS |
|
|
Face Detection (SP)
|
100% |
26700
317.3 IPS |
|
|
Face Detection (HP)
|
100% |
28605
339.9 IPS |
|
|
Face Detection (Q)
|
100% |
21697
257.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33053
254.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34831
268.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
28950
226.3 IPS |
|
|
Style Transfer (SP)
|
100% |
144898
186.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159628
205.2 IPS |
|
|
Style Transfer (Q)
|
96% |
149045
192.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21180
782.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22673
837.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16928
625.1 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5274
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7105
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7026
121.4 IPS |
