MacBook Pro (14-inch, 2024)
Geekbench AI Score
21554
Single Precision Score
24013
Half Precision Score
21704
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | videocam |
| Upload Date | December 18 2024 03:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10107
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10622
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
8825
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19365
313.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20630
334.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21100
342.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
107312
125.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
110036
128.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103995
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
9080
720.3 IPS |
|
|
Object Detection (HP)
|
100% |
9964
790.3 IPS |
|
|
Object Detection (Q)
|
91% |
8574
685.1 IPS |
|
|
Face Detection (SP)
|
100% |
37370
444.0 IPS |
|
|
Face Detection (HP)
|
100% |
37730
448.3 IPS |
|
|
Face Detection (Q)
|
100% |
31542
374.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
44370
341.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47600
366.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
40137
313.7 IPS |
|
|
Style Transfer (SP)
|
100% |
223154
286.9 IPS |
|
|
Style Transfer (HP)
|
100% |
239852
308.3 IPS |
|
|
Style Transfer (Q)
|
96% |
222698
287.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30078
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32260
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26148
965.5 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5355
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3540
61.2 IPS |
