MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4795
Single Precision Score
30747
Half Precision Score
33862
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 10:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
16167
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
17267
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21883
354.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26768
433.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16750
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120291
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118802
139.2 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
16669
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
17028
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
37724
448.2 IPS |
|
|
Face Detection (Q)
|
100% |
48849
580.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7368
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101135
779.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
116365
909.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30819
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
219740
282.5 IPS |
|
|
Style Transfer (Q)
|
96% |
208174
268.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37434
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50554
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7188
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7500
129.6 IPS |
