MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
16836
Single Precision Score
18880
Half Precision Score
16637
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ElementalOwl |
| Upload Date | October 31 2024 11:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
7774
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8503
1.58 KIPS |
|
|
Image Classification (Q)
|
97% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16616
269.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17628
285.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17736
287.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92145
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95526
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
85945
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
7711
611.6 IPS |
|
|
Object Detection (HP)
|
100% |
8369
663.8 IPS |
|
|
Object Detection (Q)
|
91% |
6902
551.5 IPS |
|
|
Face Detection (SP)
|
100% |
32089
381.3 IPS |
|
|
Face Detection (HP)
|
100% |
36356
432.0 IPS |
|
|
Face Detection (Q)
|
100% |
25740
305.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38290
295.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
40992
315.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
34462
269.3 IPS |
|
|
Style Transfer (SP)
|
100% |
186733
240.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203765
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
186022
240.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24812
916.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26429
975.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19752
729.3 IPS |
|
|
Text Classification (SP)
|
100% |
2729
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4725
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1544
26.7 IPS |
