MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4384
Single Precision Score
27020
Half Precision Score
29510
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 13 2024 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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
278.7 IPS |
|
|
Image Classification (HP)
|
100% |
16057
2.99 KIPS |
|
|
Image Classification (Q)
|
99% |
17018
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16739
271.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
16739
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16793
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116263
135.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
113533
133.2 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
15490
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16583
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
24673
293.2 IPS |
|
|
Face Detection (Q)
|
100% |
39165
465.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7267
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83702
644.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
88647
685.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30345
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162889
209.4 IPS |
|
|
Style Transfer (Q)
|
100% |
162911
209.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37910
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51202
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4676
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1950
33.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7029
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6897
119.2 IPS |
