MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4770
Single Precision Score
29884
Half Precision Score
32999
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HoukCC |
| Upload Date | February 01 2025 01:40 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.03 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
15890
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
17161
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21644
350.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27292
442.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16624
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120670
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
119150
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
17220
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
17267
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
38412
456.4 IPS |
|
|
Face Detection (Q)
|
100% |
48858
580.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7439
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102188
787.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
117426
918.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30886
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
220428
283.4 IPS |
|
|
Style Transfer (Q)
|
96% |
210362
271.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40247
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50540
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4703
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4863
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4733
81.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5357
92.6 IPS |
