MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
14947
Single Precision Score
19073
Half Precision Score
6106
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | asto18089 |
| Upload Date | February 23 2025 09:54 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
6776
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6975
1.30 KIPS |
|
|
Image Classification (Q)
|
97% |
6264
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15929
258.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16600
269.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14730
238.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
65763
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
68523
80.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
63598
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
6705
531.8 IPS |
|
|
Object Detection (HP)
|
100% |
7522
596.6 IPS |
|
|
Object Detection (Q)
|
92% |
6196
494.5 IPS |
|
|
Face Detection (SP)
|
100% |
26580
315.8 IPS |
|
|
Face Detection (HP)
|
100% |
28044
333.2 IPS |
|
|
Face Detection (Q)
|
100% |
22626
268.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32250
248.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33391
257.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
223.4 IPS |
|
|
Style Transfer (SP)
|
100% |
142282
182.9 IPS |
|
|
Style Transfer (HP)
|
100% |
157515
202.5 IPS |
|
|
Style Transfer (Q)
|
96% |
147470
190.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20646
762.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21460
792.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17969
663.5 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4614
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7175
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7167
123.9 IPS |
