MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4726
Single Precision Score
24309
Half Precision Score
26516
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 06:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.02 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
16094
2.99 KIPS |
|
|
Image Classification (Q)
|
99% |
17026
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1817
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13880
225.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
13801
223.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16622
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
117113
136.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
113682
133.3 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
15771
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17277
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
23882
283.8 IPS |
|
|
Face Detection (Q)
|
100% |
38604
458.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7347
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85055
655.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
89585
692.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30816
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
164823
211.9 IPS |
|
|
Style Transfer (Q)
|
100% |
164491
211.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40620
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
51284
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2676
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4665
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4669
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2734
47.3 IPS |
