MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4377
Single Precision Score
31495
Half Precision Score
34539
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 09:04 AM |
| Views | 8 |
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 (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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
16598
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
18067
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21998
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27078
438.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16571
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120430
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119270
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.9 IPS |
|
|
Object Detection (HP)
|
100% |
17948
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
18767
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
38214
454.1 IPS |
|
|
Face Detection (Q)
|
100% |
48983
582.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7403
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101328
780.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
117841
921.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30541
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
220051
282.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210448
271.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5809
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38314
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50747
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7071
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
