MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4404
Single Precision Score
31012
Half Precision Score
33307
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rinsxi |
| Upload Date | October 31 2024 02:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
16276
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
16903
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22020
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26929
436.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16784
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120467
140.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118951
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
17538
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
16960
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
4073
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
38434
456.7 IPS |
|
|
Face Detection (Q)
|
100% |
44481
528.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7409
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101965
785.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
115466
902.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30213
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
217653
279.8 IPS |
|
|
Style Transfer (Q)
|
96% |
209463
270.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5814
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38246
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51619
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4745
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4715
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6988
120.8 IPS |
