MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
14168
Single Precision Score
15609
Half Precision Score
14129
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mkppk |
| Upload Date | August 15 2024 06:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7362
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7570
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
7204
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15722
254.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16972
275.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
16058
260.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
90829
106.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
94770
110.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
82755
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
7222
572.8 IPS |
|
|
Object Detection (HP)
|
100% |
7629
605.2 IPS |
|
|
Object Detection (Q)
|
92% |
6448
514.7 IPS |
|
|
Face Detection (SP)
|
100% |
26414
313.9 IPS |
|
|
Face Detection (HP)
|
100% |
30793
365.9 IPS |
|
|
Face Detection (Q)
|
100% |
22098
262.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37833
291.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40508
312.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
40469
312.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185463
238.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203633
261.8 IPS |
|
|
Style Transfer (Q)
|
100% |
197714
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25093
926.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26149
965.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19494
722.2 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1510
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1975
34.1 IPS |
