MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4465
Single Precision Score
30455
Half Precision Score
33349
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tsakal |
| Upload Date | September 24 2024 04:21 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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% |
1515
281.7 IPS |
|
|
Image Classification (HP)
|
100% |
16010
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17336
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16425
266.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19334
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16776
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120631
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119697
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
18501
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
18840
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
4061
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
37831
449.5 IPS |
|
|
Face Detection (Q)
|
100% |
49827
592.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7458
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105973
816.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
122269
956.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30743
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
221186
284.3 IPS |
|
|
Style Transfer (Q)
|
96% |
213054
274.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37234
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49786
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5036
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5106
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7035
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6824
117.9 IPS |
