MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4398
Single Precision Score
31082
Half Precision Score
34380
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | crodjer |
| Upload Date | November 27 2024 01:57 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1504
279.6 IPS |
|
|
Image Classification (HP)
|
100% |
16678
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
18342
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21844
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27415
444.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16820
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120538
140.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
118845
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
16636
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
17226
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
38606
458.7 IPS |
|
|
Face Detection (Q)
|
100% |
49522
588.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7437
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101340
780.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
120455
941.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30310
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
219765
282.5 IPS |
|
|
Style Transfer (Q)
|
96% |
210970
272.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39126
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52493
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4938
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4916
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
