MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
15513
Single Precision Score
19447
Half Precision Score
17414
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
7309
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7603
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6703
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13582
220.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14493
234.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14933
242.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
66774
77.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69339
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65123
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
7311
579.9 IPS |
|
|
Object Detection (HP)
|
100% |
7640
606.0 IPS |
|
|
Object Detection (Q)
|
91% |
6504
519.7 IPS |
|
|
Face Detection (SP)
|
100% |
26825
318.7 IPS |
|
|
Face Detection (HP)
|
100% |
30722
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
22999
273.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32553
250.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34837
268.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
28316
221.3 IPS |
|
|
Style Transfer (SP)
|
100% |
144889
186.3 IPS |
|
|
Style Transfer (HP)
|
100% |
161230
207.3 IPS |
|
|
Style Transfer (Q)
|
96% |
149873
193.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21258
785.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23043
850.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18122
669.2 IPS |
|
|
Text Classification (SP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4806
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4920
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6938
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6952
120.1 IPS |
