MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4823
Single Precision Score
31162
Half Precision Score
34329
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 06:59 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
16028
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17694
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21281
345.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26591
431.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16768
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120251
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118581
139.0 IPS |
|
|
Object Detection (SP)
|
100% |
1996
158.3 IPS |
|
|
Object Detection (HP)
|
100% |
16760
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
16853
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
4122
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
38576
458.4 IPS |
|
|
Face Detection (Q)
|
100% |
49834
592.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7402
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101350
780.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
117428
918.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30926
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
219876
282.7 IPS |
|
|
Style Transfer (Q)
|
96% |
208781
269.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38465
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51169
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4889
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4932
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7783
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7910
136.7 IPS |
