MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
14800
Single Precision Score
18958
Half Precision Score
17220
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 10:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
6485
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6582
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13421
217.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14440
234.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14726
238.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
66134
77.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69464
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65030
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
6880
545.7 IPS |
|
|
Object Detection (HP)
|
100% |
7248
574.9 IPS |
|
|
Object Detection (Q)
|
91% |
6125
489.4 IPS |
|
|
Face Detection (SP)
|
100% |
26250
311.9 IPS |
|
|
Face Detection (HP)
|
100% |
29952
355.9 IPS |
|
|
Face Detection (Q)
|
100% |
22506
267.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31435
242.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33582
258.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
28731
224.5 IPS |
|
|
Style Transfer (SP)
|
100% |
142313
182.9 IPS |
|
|
Style Transfer (HP)
|
100% |
158920
204.3 IPS |
|
|
Style Transfer (Q)
|
96% |
149622
193.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20612
761.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22380
826.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17698
653.5 IPS |
|
|
Text Classification (SP)
|
100% |
2653
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5080
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6888
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6828
118.0 IPS |
