MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4525
Single Precision Score
27261
Half Precision Score
29338
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | October 24 2024 06:04 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.01 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
16635
3.09 KIPS |
|
|
Image Classification (Q)
|
99% |
17005
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13915
225.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
13894
225.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16712
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
117186
136.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
114178
133.9 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
16378
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
17926
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
24473
290.8 IPS |
|
|
Face Detection (Q)
|
100% |
37159
441.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7351
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85788
660.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
89726
693.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30687
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164357
211.3 IPS |
|
|
Style Transfer (Q)
|
100% |
164824
211.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5889
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40799
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51199
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5083
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4903
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2616
45.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7131
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7083
122.4 IPS |
