MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15582
Single Precision Score
19887
Half Precision Score
17775
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | crodjer |
| Upload Date | November 27 2024 01:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
7759
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7972
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6881
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13835
224.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14733
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15230
246.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
66603
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69618
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65144
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
7404
587.3 IPS |
|
|
Object Detection (HP)
|
100% |
7757
615.3 IPS |
|
|
Object Detection (Q)
|
91% |
6530
521.8 IPS |
|
|
Face Detection (SP)
|
100% |
26467
314.5 IPS |
|
|
Face Detection (HP)
|
100% |
30577
363.3 IPS |
|
|
Face Detection (Q)
|
100% |
23604
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32859
253.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35236
271.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
28613
223.6 IPS |
|
|
Style Transfer (SP)
|
100% |
144720
186.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161711
207.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153048
197.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21962
810.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23322
861.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18779
693.4 IPS |
|
|
Text Classification (SP)
|
100% |
2762
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7007
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6925
119.7 IPS |
