MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4781
Single Precision Score
24797
Half Precision Score
29481
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | September 07 2024 12:45 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1506
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
7394
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
17516
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16614
269.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19238
311.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16731
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121634
141.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118890
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
1966
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
16358
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
19231
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
38522
457.7 IPS |
|
|
Face Detection (Q)
|
100% |
49393
586.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101315
780.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
122447
957.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30541
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
163651
210.4 IPS |
|
|
Style Transfer (Q)
|
96% |
163182
210.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43210
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50463
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4635
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4896
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2795
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2789
48.2 IPS |
